Work Experience
Building award-winning projects
Years of experience working with best-in-class teams building scalable data solutions, machine learning models, and cloud infrastructure that powers enterprise operations.
Data Engineer
Design, build, and maintain scalable data pipelines, machine learning models, cloud infrastructure, APIs, DevOps practices, and visualization solutions for clinical trial operations.
Key Achievements
- •Delivered Patient Spend Budgeting solution on AWS
- •Built time series forecasting models (DeepAR, SageMaker)
- •Architected company-wide reporting framework
- •Translated legacy SQL ETL to PySpark on AWS Glue
Technologies
🏆 Recognition: Nominated for the Phirestarter Award for exceptional contributions and innovation
Software Engineer
Enhanced internal CMS performance and developed new features for digital check creation platform, improving user experience and system reliability.
Key Achievements
- •Enhanced CMS performance using Gatsby and Netlify
- •Implemented address verification system
- •Upgraded frontend to React 18.10
Technologies
Machine Learning Engineer Intern
Developed and evaluated ML models to forecast truck demand, with DeepAR significantly outperforming traditional methods.
Key Achievements
- •Developed ML models (Moving Average, SES, Holt-Winters, SARIMA, DeepAR)
- •Identified DeepAR as most effective model
- •Deployed DeepAR on AWS SageMaker
Technologies
Computer Science Summer Institute
Developed a full-stack web app aggregating real-time inventory data from multiple merchants using Google APIs.
Key Achievements
- •Developed full-stack web app with Google APIs
- •Designed dynamic product comparison interface
- •Collaborated in team environment
Technologies
Big Data Intern
Developed scalable data pipelines to process real-time consumer purchase data for targeted marketing campaigns.
Key Achievements
- •Built scalable data pipelines for real-time processing
- •Optimized batch/streaming queries with Kafka and Spark
- •Designed ETL workflows with Spark/Scala